DocumentCode
3474786
Title
Analysis of active queue management
Author
Chung, Jae ; Claypool, Mark
Author_Institution
Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA
fYear
2003
fDate
16-18 April 2003
Firstpage
359
Lastpage
366
Abstract
Active Queue Management (AQM) is intended to achieve high link utilization with a low queuing delay. Recent studies show that RED, one of the most well-known AQMs, is difficult to configure and does not provide significant performance gains given the complexity required for proper configuration. Recent variants of RED, such as Adaptive-RED are designed to provide more robust RED performance under a wider-range of traffic conditions but have not yet been evaluated. This paper presents a router queue behavior model (a queue law) for TCP-dropping and TCP-marking control systems, and uses the queue law to illustrate the impact of TCP traffic on the load and queue behavior of congested routers. Through queue law analysis and simulation, this paper confirms that RED-like AQM techniques that employ packet dropping do not significantly improve performance over that of drop-tail queue management. However, when AQM techniques use Explicit Congestion Notification (ECN) as a method to notify TCP sources of congestion rather than packet drops, the performance gains of AQM in terms of goodput and delay can be significant over that of drop-tail queue management.
Keywords
computer network management; digital simulation; queueing theory; transport protocols; Explicit Congestion Notification; RED-like AQM techniques; Random Early Detection; TCP-dropping control systems; TCP-marking control systems; active queue management; drop-tail queue management; high link utilization; load behavior; queue behavior; queue law; router queue behavior model; traffic conditions; Communication system traffic control; Delay; Feedback control; Internet; Load modeling; Performance gain; Queueing analysis; Robustness; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Applications, 2003. NCA 2003. Second IEEE International Symposium on
Print_ISBN
0-7695-1938-5
Type
conf
DOI
10.1109/NCA.2003.1201176
Filename
1201176
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